def II(): return int(input())
def MI(): return map(int, input().split())
def TI(): return tuple(MI())
def LI(): return list(MI())
#str-input
def SI(): return input()
def MSI(): return input().split()
def SI_L(): return list(SI())
def SI_LI(): return list(map(int, SI()))
#multiple-input
def LLI(n): return [LI() for _ in range(n)]
def LSI(n): return [SI() for _ in range(n)]
#1-indexを0-indexでinput
def MI_1(): return map(lambda x:int(x)-1, input().split())
def TI_1(): return tuple(MI_1())
def LI_1(): return list(MI_1())
class fenwick_tree():
    n=1
    data=[0 for i in range(n)]
    def __init__(self,N):
        self.n=N
        self.data=[0 for i in range(N)]
    def add(self,p,x):
        assert 0<=p<self.n,"0<=p<n,p={0},n={1}".format(p,self.n)
        p+=1
        while(p<=self.n):
            self.data[p-1]+=x
            p+=p& -p
    def sum(self,l,r):
        assert (0<=l and l<=r and r<=self.n),"0<=l<=r<=n,l={0},r={1},n={2}".format(l,r,self.n)
        return self.sum0(r)-self.sum0(l)
    def sum0(self,r):
        s=0
        while(r>0):
            s+=self.data[r-1]
            r-=r&-r
        return s
class dsu():
    n=1
    parent_or_size=[-1 for i in range(n)]
    def __init__(self,N):
        self.n=N
        self.parent_or_size=[-1 for i in range(N)]
    def merge(self,a,b):
        assert 0<=a<self.n, "0<=a<n,a={0},n={1}".format(a,self.n)
        assert 0<=b<self.n, "0<=b<n,b={0},n={1}".format(b,self.n)
        x=self.leader(a)
        y=self.leader(b)
        if x==y:
            return x
        if (-self.parent_or_size[x]<-self.parent_or_size[y]):
            x,y=y,x
        self.parent_or_size[x]+=self.parent_or_size[y]
        self.parent_or_size[y]=x
        return x
    def same(self,a,b):
        assert 0<=a<self.n, "0<=a<n,a={0},n={1}".format(a,self.n)
        assert 0<=b<self.n, "0<=b<n,b={0},n={1}".format(b,self.n)
        return self.leader(a)==self.leader(b)
    def leader(self,a):
        assert 0<=a<self.n, "0<=a<n,a={0},n={1}".format(a,self.n)
        if (self.parent_or_size[a]<0):
            return a
        self.parent_or_size[a]=self.leader(self.parent_or_size[a])
        return self.parent_or_size[a]
    def size(self,a):
        assert 0<=a<self.n, "0<=a<n,a={0},n={1}".format(a,self.n)
        return -self.parent_or_size[self.leader(a)]
    def groups(self):
        leader_buf=[0 for i in range(self.n)]
        group_size=[0 for i in range(self.n)]
        for i in range(self.n):
            leader_buf[i]=self.leader(i)
            group_size[leader_buf[i]]+=1
        result=[[] for i in range(self.n)]
        for i in range(self.n):
            result[leader_buf[i]].append(i)
        result2=[]
        for i in range(self.n):
            if len(result[i])>0:
                result2.append(result[i])
        return result2


def lis(l): #最長増加部分列
    n = len(l)
    tmp = [] # いまi文字目に使える最小
    idxlist = [None] * n # l[i]が使われた場所
    for i in range(n):
        numidx = bisect_right(tmp, l[i])
        if numidx == len(tmp):
            tmp.append(l[i])
        else:
            tmp[numidx] = l[i]
        idxlist[i] = numidx

    # LIS復元
    look = len(tmp) - 1
    ans = [0] * (look + 1)
    idx = [0] * (look + 1)
    # 後ろから見ていく
    for i in range(n-1,-1,-1):
        if idxlist[i] == look:
            ans[look] = l[i] # ansを確定
            idx[look] = i
            look -= 1
    return ans,idx

from bisect import bisect_left,bisect_right

from fractions import Fraction

def primefact(n:int): #素因数分解
    """素因数分解"""
    p = 2
    pf = dict()
    while p*p <= n:
        if n%p == 0:
            cnt = 0
            while n%p == 0:
                n //= p
                cnt += 1
            pf[p] = cnt
        p += 1
    if n != 1:
        pf[n] = 1
    
    return pf

from math import comb,ceil,floor,factorial,gcd
a,b = input().split()
a = Fraction(a)
b = Fraction(b)

if b == 0:
    print("Yes")
    exit()

if a != int(a):
    print("No")
else:
    k = primefact(int(a))
    
    e = [i for i in k.values()]
    t = gcd(*e)
    b *= t
    if b != int(b):
        print("No")
    else:
        print("Yes")